Full expansion of context-dependent networks in large vocabulary speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 1998, Pages 665-668

  Mohri, Mehryar ^a   Riley, Michael ^a   Hindle, Don ^a   Ljolje, Andrej ^a   Pereira, Femando ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT DEPENDENCY; DETERMINATION METHODS; LARGE VOCABULARY SPEECH RECOGNITION; N-GRAM LANGUAGE MODELS; NETWORK REPRESENTATION; NORTH AMERICAN BUSINESS; PRONUNCIATION DICTIONARIES; WEIGHTED NETWORKS;

SIGNAL PROCESSING; SPEECH RECOGNITION;

COMPUTATIONAL LINGUISTICS;

EID: 84892168937     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.675352     Document Type: Conference Paper

References (17)

1. J. Berstel. Transductions and Context-Free Languages. Teubner Studienbucher, Stuttgart, Germany, 1979.
2. S. Eilenberg. Automata, Languages, and Machines, volume A. Academic Press, San Diego, California, 1974.
3. S. Katz. Estimation of probabilities from sparse data for the language model component of a speech recognizer. IEEE Trans, of ASSP, 35(3):400-401,1987.
4. W. Kuich and A. Salomaa. Semirings, Automata, Languages. Number 5 in EATCS Monographs on Theoretical Computer Science. Springer-Verlag, Berlin, Germany, 1986.
5. K.-F. Lee. Context dependent phonetic hidden Markov models for continuous speech recognition. IEEE Trans. ASSP, 38(4):599-609, Apr. 1990.
6. A. Ljolje, M. Riley, and D. Hindle. Recent improvements in the AT&T60,000 word speech-to-text system. In ARPA Speech and Natural Language Workshop, Harriman, NY., 1996. Distributed by Morgan Kaufmann, San Francisco.
7. M. Mohri. On some applications of finite-state automata theory to natural language processing. Journal of Natural Language Engineering, 2:1-20, 1996.
8. M. Mohri. Finite-state transducers in language and speech processing. Computational Linguistics, 23, 1997.
9. M. Mohri, F. Pereira, and M. Riley. Weighted automata in text and speech processing. In ECAI-96 Workshop, Budapest, Hungary, 1996.
10. J. Odell, V. Valtchev, P. Woodland, and S. Young. A one pass decoder design for large vocabulary recognition. In Proceedings of the ARPA Human Language Technology Workshop, March 1994. Morgan Kaufmann, 1994.
11. S. Ortmanns, H. Ney, and A. Eiden. Language-model look-ahead for large vocabulary speech recognition. In IC-SLP'96, pages 2095-2098. University of Delaware and Alfred I.duPont Institute, 1996.
12. S. Ortmanns, H. Ney, F. Seide, and I. Lindam. A comparison of time conditioned and word conditioned search techniques for large vocabulary speech recognition. In ICSLP'96, pages 2091-2094. University of Delaware and Alfred I.duPont Institute, 1996.
13. F. Pereira and M. Riley. Speech recognition by composition of weighted finite automata. In E. Roche and Y. Schabes, editors, Finite-State Language Processing, pages 431-453. MIT Press, Cambridge, Massachusetts, 1997.
14. G. Riccardi, E. Bocchieri, and R. Pieraccini. Non-deterministic stochastic language models for speech recognition. In Proc. ICASSP, volume 1, pages 237-240. IEEE, 1995.
15. M. Riley, F. Pereira, and M. Mohri. Transducer composition for context-dependent network expansion. In Eurospeech '97, Rhodes, Greece, 1997.
16. K. Seymore and R. Rosenfeld. Scalable backoff language models. In Proceedings of ICSLP, Philadelphia, Pennsylvania, 1996.
17. S. Young, J. Odell, and P. Woodland. Tree-based state-tying for high accuracy acoustic modelling. In ARPA Human Language Technology Workshop, 1994. Distributed by Morgan Kaufmann, San Francisco.